Automatic knowledge acquisition tool for irrigation and fertilization expert systems

摘要

Knowledge acquisition is commonly regarded as a major obstacle and bottleneck in the process of designing and implementing knowledge base system. Our approach to overcome this problem is to build a task specific knowledge acquisition tool for solving the irrigation and fertilization scheduling problems. The tool was tested using set of cases that was designed to measure the tool flexibility, usability, accuracy, and exception handling.